Retail Network Planning and Pricing
Trillions of External Data Points for Retail
700,000 Product Pricing for
All Major Retailers
Collect
Collect Prices for 700,000 Products Across All Major Retailers
We track daily retail prices for 700,000 products across all major global retailers.
Eliminate Major Retail Blind Spots
Insights Used by Leading Retailers
Intelligence Only Available Through the PriceEasy Platform
Discover Where Customers Shop
- Understand where people in a specific neighborhood buy fuel and groceries.
- Analyze the proportion of consumer spending (wallet share) at each retail location.
- Make data-driven decisions on how to attract neighborhood customers to your location.
Customer's Share of Wallet by Category
- Gain insights into the spending profile of a micro-neighborhood, including monthly spending on alcohol, non-alcoholic beverages, bakery items, chocolates, processed foods, fruits, vegetables, and gasoline.
- Understand local food preferences (e.g., Mediterranean vs. Chinese) to optimize merchandise offerings and promotions."
Stores that are Real Competitors
- You might intuitively think you're competing with the nearest store on the same street. But do you have data that tells you where your customers shop?
- Without this intel, your pricing strategies and rules are based on intuition, not facts.
- PriceEasy provides the intel you need to create informed strategies based on real customer behavior.
Competitor Price Change Alerts
- Eliminate manual price surveys and third-party data purchases.
- Get daily updates on competitor prices for 700,000+ products across major retailers, covering 90% coverage in the US and 22+ countries.
- Set up alerts and get notified instantly when competitors change prices.
Retail Site Selection
- Define Selection Criteria
- Apply filters to narrow down site selections with the best catchment areas for your specific use case. For example if you would like to find the best location for setting up a new Mediterranean restaurant, you can set area criteria as high spending on dining out, low crime rates, a large Mediterranean population, proximity to specific brands or restaurants, a minimum population of 10,000 in the catchment area.
- Find Locations with Best Revenue Potential
- By combining external data with competitor retail locations, the algorithm analyzes the percentage of potential customers in each micro area. It filters areas that meet the specifications and identifies locations with the highest revenue potential.
Drive the Best Real Estate Decision
Find the Best Areas for Expansion
Step 1
Simulate the Entire Region of Interest
Apply constraints such as income, demographics, crime rate, and proximity to competitors.
Select product, and maximization objective:
- Sales
- Profit
- Market Share
PriceEasy analyzes all external data to identify regions that offer the highest potential for retail concept.
Step 2
Analyze Areas Highlighted with Maximum Potential
Identifies areas with the highest revenue potential by analyzing constraints, demand, and competition.
Analyze specific insights for each area, such as:
- Site Ownership
- Competitive Intensity
- Total Addressable Market
- Sales Potential
- Competitor Pricing
- Main Competitors
- Customer Demographics
- Local Macro Factors
- Top Selling Products
Analyze detailed insights to pinpoint key locations with the highest potential for the specific product.
Step 3
Deep Dive and Fine Tune Insights through Vision AI
Compare top recommendations with detailed insights for each location using the PriceEasy Platform.
Fine-tune your selection and boost confidence with PriceEasy Vision AI:
- Count Vehicles by Time of Day
- Type of Vehicles by Time of Day
- Number of Visitors at Competitors
- Competitor Pricing
- Shopping Pattern of Customers
- Local Macro Demographics
- Demand for Products
- Sales Potential
- Total Addressable Market
- Customer Demographics
- Impact of Competition
- Cannibalization
Gain precise intel on the site, combining the data from Vision AI with other external data.
